288 data-"https:"-"https:"-"https:"-"https:"-"BioData"-"BioData"-"BioData" Postdoctoral positions in United Kingdom
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Field
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are the principal intellectual home of scholarly efforts that explore in-depth the dynamic and interconnected histories, religions, and philosophies of the world. You can find further information on the key criteria
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, Inequality, and Opportunity. About you You have completed, or be close to completion, of a doctorate in a social science discipline (or a relevant data science field), have interest and research in the field
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. It is situated in the Big Data Institute on the University’s Old Road Campus, giving it ready access to major medical research institutes such as the Clinical Trials Service Unit, the Oxford Centre
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controllers. Practical experience in system modelling and simulation tools such as MATLAB/Simulink. Exposure to AI/ML techniques, particularly as applied to sensor data, diagnostics, or control optimisation
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commencing 13th April To avoid disappointment please apply early, should we find a suitable candidate we will close the advert. For more information about out benefits and working for the University please
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Contact information for at least 2 referees (can be added in the CV) Please apply via our job portal / Apply now button If you have any questions, please contact: Frank Melzner frank.melzner@univie.ac.at We
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information and advice to other group members and contribute to the preparation of scientific reports and journal articles. You will also occasionally present papers and posters. About You • You must hold PhD
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practical experience of state-of-the-art molecular biology techniques and data analysis. In particular expertise in the following is essential : Genome editing, Epigenome editing, Off-target analysis, CRISPR
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data and willingness to develop skills in statistical or multivariate analysis are essential. The postholder will work collaboratively with Prof Jesmond Dalli, Prof Ghassan Alusi, Dr Adrian Biddle and
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-Doctoral Research Associate. Preference may be given to candidates with active interests in one or more of the following areas: colour vision, machine learning, computer vision, and virtual reality. The core